Comparing 3d and 2d computational modeling of an oil well blowout using MOHID platform - A case study in the Campos Basin

Paiva, Pedro Mello; Junior, Jader Lugon; Barreto, Alexandre Nunes; Silva, J.A.F.; Neto, Antônio José da Silva

doi:10.1016/j.scitotenv.2017.04.007

Cited by 8 publications

(2 citation statements)

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“…These models allow to study the impact of various possible scenarios and thus estimate the environmental sensitivity of a marine and coastal area before such accidents occur [15]- [19]. The purpose and capability of oil slick drift models range from simple trajectory tracking to two dimensional or three-dimensional (2D or 3D) transport models, able to predict oil distributions at the surface, in the water column [20], taking into consideration the various behavioural characteristics of oil during the weathering process [21]. The most complex models can also quantify biological responses and environmental impacts [22].…”

Section: Introductionmentioning

confidence: 99%

Oil Spill Trajectory: A Comparison Between 2d and 3d Models

Soussi¹,

Bersani²,

Tomasoni³

2021

WIT Transactions on the Built Environment

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Oil spills in the marine environment are a harmful threat to the environment, the population, and the economy. For this reason, it is important to know the trajectory of oil slicks in case of a spill in order to prioritize actions for oil recovery and thus to better protect areas exposed to pollution risk. For this purpose, several oil slick drift models are developed to study the impact of various possible scenarios and to estimate the environmental sensitivity of a maritime and coastal area even before this type of accident occurs. In this context, this paper presents the applications of a two (2D) and three-dimensional (3D) oil spill models, suggested to define the trajectory of the oil slick in a marine environment taking into account different meteorological parameters. The two models have been applied to simulate the oil spill propagation in the case of a collision accident that occurred off Saint-Tropez (France) on

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Section: Introductionmentioning

confidence: 99%

Oil Spill Trajectory: A Comparison Between 2d and 3d Models

Soussi¹,

Bersani²,

Tomasoni³

2021

WIT Transactions on the Built Environment

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“…MOHID, short for the Portuguese sentence MOdelo HIDrodinâmico (hydrodynamic model), an ANSI FORTRAN-95-based modelling software developed by MARETEC at Instituto Superior Técnico in Lisbon, Portugal (BRAUNSCHWEIG et al, 2004), is an opencode software that allows the user to insert codes and data to perform simulations of desired events (JANEIRO et al, 2012;LI et al, 2017;LUGON JR et al, 2019a, 2019bMATEUS AND FERNANDES, 2008;MATEUS AND NEVES, 2013;PAIVA et al, 2016, PAIVA et al, 2017PIERINI et al, 2008). MOHID is a powerful tool to predict oil-spill trajectories.…”

Section: Introductionmentioning

confidence: 99%

Parameter sensitivity study and water property influence: An evaluation of the determining factors on oil drifting effect

Souza

Junior

Yamasaki

et al. 2021

Cereus

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Parameter sensitivity study and water property influence: An evaluation of the determining factors on oil drifting effectEstudo de sensibilidade e influência das características da água: Uma avaliação de fatores determinantes no efeito do arraste do óleo ABSTRACTThe Eastern Mediterranean Sea is a complex location for oil spill trajectory prediction, and accurate results are necessary for emergency response plans. Furthermore, the heavy traffic of the oil shipping industry is associated with an elevated risk of an oil spill.In this work, we have set up a model in MOHID using the Eastern Mediterranean Sea as a reference, setting a simulated oil spill accident at a random location, that is, however, related to ordinary ship trajectories. We have developed a control simulation, varying parameters (wind, API, oil, and water temperature and salinity) to observe how these parameters influence the output and assess the sensitivity of the model. We have found a strong correlation between the wind and the covered area, temperature, and salinity. We have concluded that the wind, API, and water properties were determining factors in these models, with the wind being the strongest influence on the oil drifting effect.

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